Construction and Empirical Analysis of College Students' Job Satisfaction Index Model Using Artificial Intelligence

Abstract

Employers' feedback on new college graduates' performance is a crucial piece of information that schools must consider to identify the relevance and responsiveness of their curriculum, programs, and services. Hence, in this paper, the artificial intelligence assisted satisfaction index model (AI-SIM) has been proposed to identify the college students' job satisfaction. Computer systems with advanced artificial intelligence can engage in reasoning, sensing, and responding in the most dynamic and complex environments. Artificial intelligence systems are being adopted rapidly by organizations to manage their workforce. This article aims to present the research results where contract the assessment made by graduates of the training at the University with necessary professional competences in the labour market. Job satisfaction toward colleague has the highest mean, meanwhile opportunities for promotion are the lowest. The implication of college student volunteer's systems and practices are discussed.